Aydin Kaya

According to our database, Aydin Kaya authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges.

Ali Amiri, Aydin Kaya, Ali Seydi Keçeli

CoRR, 2024

2023

Violent activity classification with transferred deep features and 3d-Cnn.

Ali Seydi Keçeli, Aydin Kaya

Signal Image Video Process., February, 2023

2022

Deep learning-based multi-task prediction system for plant disease and species detection.

Ali Seydi Keçeli, Aydin Kaya, Cagatay Catal, Bedir Tekinerdogan

Ecol. Informatics, 2022

2021

ADS-B Attack Classification using Machine Learning Techniques.

Thabet Kacem, Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Duminda Wijesekera, Paulo Costa

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model.

Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan

Sensors, 2020

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data.

Ali Seydi Keçeli, Cagatay Catal, Aydin Kaya, Bedir Tekinerdogan

Comput. Electron. Agric., 2020

2019

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models.

Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan

J. Softw. Evol. Process., 2019

Analysis of transfer learning for deep neural network based plant classification models.

Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Hamdi Yalin Yalic, Hüseyin Temuçin, Bedir Tekinerdogan

Comput. Electron. Agric., 2019

2018

Combining 2D and 3D deep models for action recognition with depth information.

Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can

Signal Image Video Process., 2018

Depth features to recognise dyadic interactions.

Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can

IET Comput. Vis., 2018

Classification of radiolarian fossil images with deep learning methods.

Ali Seydi Keçeli, Seda Uzunçimen Keçeli, Aydin Kaya

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017

Classification of radiolarian images with hand-crafted and deep features.

Ali Seydi Keçeli, Aydin Kaya, Seda Uzunçimen Keçeli

Comput. Geosci., 2017

Cyclotorsion measurement using scleral blood vessels.

Aydin Kaya, Ali Seydi Keçeli, Ahmet Burak Can, Hasan Basri Çakmak

Comput. Biol. Medicine, 2017

Action recognition with skeletal volume and deep learning.

Ali Seydi Keçeli, Aydin Kaya, Ahmet Burak Can

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Investigation of transfer learning on pulmonary nodule characteristics.

Aydin Kaya, Ali Seydi Keçeli, Ahmet Burak Can

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2015

A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics.

Aydin Kaya, Ahmet Burak Can

J. Biomed. Informatics, 2015

Malignancy prediction by using characteristic-based fuzzy sets: A preliminary study.

Aydin Kaya, Ahmet Burak Can

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary Nodules.

Aydin Kaya, Ahmet Burak Can

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

2013

Characterization of lung nodules.

Aydin Kaya, Ahmet Burak Can

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2011

The problems of public accessed computer laboratories and a suggestion for these problems' solution.

Erzurumlu Kerem, Aydin Kaya

Proceedings of the First World Conference on Information Technology, 2011

2010

Designing a Pattern Stabilization Method Using Scleral Blood Vessels for Laser Eye Surgery.

Aydin Kaya, Ahmet Burak Can, Hasan Basri Çakmak

Proceedings of the 20th International Conference on Pattern Recognition, 2010